Triple
T37555141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Constructs |
E933677
|
entity |
| Predicate | appearsInZone |
P198025
|
FINISHED |
| Object | Maldraxxus |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maldraxxus | Statement: [House of Constructs, appearsInZone, Maldraxxus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInZone Context triple: [House of Constructs, appearsInZone, Maldraxxus]
-
A.
factionZoneFor
Indicates that a specific area or zone is designated as belonging to, controlled by, or associated with a particular faction.
-
B.
otherZones
Indicates that an entity is associated with or belongs to zones that are distinct from a primary or reference zone.
-
C.
cityInZone
Indicates that a city is located within or belongs to a specified geographic or administrative zone.
-
D.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
E.
qualifyingZones
Indicates that certain areas or regions meet specified criteria or conditions required for a particular status, activity, or classification.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
| PDg | Predicate description generation | batch_69fec25e3d708190be27135c57b189a5 |
completed | May 9, 2026, 5:13 a.m. |
Created at: May 3, 2026, 4:17 p.m.